Intelligent monitoring method and system for underground pipeline construction and medium

Abstract

The invention provides an intelligent monitoring method and system for underground pipeline construction and a medium. The intelligent monitoring method comprises the processes of unmanned aerial vehicle high-precision image automatic monitoring and underground pipeline three-dimensional data automatic identification and modeling. The unmanned aerial vehicle high-precision image automatic monitoring process comprises underground pipeline construction automatic high-definition image tracking acquisition and image processing based on an unmanned aerial vehicle, and the underground pipeline three-dimensional data automatic identification and modeling comprises pipeline image intelligent identification, pipeline vector extraction and pipeline three-dimensional modeling. The method can be applied to automatic monitoring of pipeline three-dimensional data in the underground pipeline construction process in factory scenes such as thermal power plants and chemical plants, and the problem that accurate three-dimensional data in the period from underground pipeline construction to completion is difficult to obtain due to the fact that various pipelines are complex and staggered and construction coverage is fast in a current factory is effectively solved. And the three-dimensional accurate tracking measurement method for the construction period of the underground pipeline in the factory area is comprehensively optimized.

Description

technical field [0001] The invention belongs to the application field of artificial intelligence technology, and particularly relates to an intelligent monitoring method for underground pipeline construction. Background technique [0002] At present, during the construction of thermal power plants, factories and other plant areas, there are many types of underground pipelines, including water supply, drainage, sewage, pressure, gas, etc., and there are a lot of cross-operations during the construction period. At the same time, due to the tight construction period, many pipelines have been covered with the surface layer under the condition of completion measurement. Therefore, it is often impossible to fully grasp the underground pipeline data in the plant area, and it is difficult to accurately draw a three-dimensional underground pipeline map for future power plants. The operation and maintenance of underground pipelines brings inconvenience. [0003] With the development ...

AI Technical Summary

Problems solved by technology

[0004] However, conventional UAV aerial survey technology is used for the construction survey of underground pipelines in thermal power plants and other factories. The existing problems include: First, the UAV needs to fly regularly according to the construction progress, and it needs to enter the site many times to control the UAV , and carry out image processing, the frequency of work is relatively high, and continuous operation is difficult; second, the pipelines on site are densely covered, and they are often covered while constructing, which is likely to cause missed shots in aerial surveys; third, the amount of pipeline data is large, requiring more manpower to Manually identify the image data obtained in each period, extract and draw the pipeline vector changes of the current construction period, which is prone to errors and omissions; fourth, there are many types of pipelines, and it is not yet possible to efficiently realize all elements and full coverage of the underground pipelines under construction in thermal power plants data extraction of

Images